7 citations · 8 across the 3 of their papers we have counts for
4 papers
A multiobjective deep learning approach for predictive classification in Neuroblastoma
Valerio Maggio, Marco Chierici, Giuseppe Jurman +1
Neuroblastoma is a strongly heterogeneous cancer with very diverse clinical courses that may vary from spontaneous regression to fatal progression; an accurate patient's risk estim…
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Giuseppe Jurman, Valerio Maggio, Diego Fioravanti +7
Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept o…
Phylogenetic Convolutional Neural Networks in Metagenomics
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio +4
Background: Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels…
Single-base mismatch profiles for NGS samples
Marco Chierici, Giuseppe Jurman, Marco Roncador +1
Within the preprocessing pipeline of a Next Generation Sequencing sample, its set of Single-Base Mismatches is one of the first outcomes, together with the number of correctly alig…